Search Results for "16"

The app provides lots of powerful extra actions for the Shortcuts app on macOS and iOS. These actions make it significantly easier to create shortcuts. Want to run shortcuts directly from the iOS Lock Screen? Check out my Quick Launch app. And trigger shortcuts on your Mac from your iOS device with my Hyperduck app. And for high-quality transcription, see my Aiko app.

one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix ASCII UTF-8 - applescript kdialog zenity shanty … ° SSH console / X forwarding / waypipe Wayland ° the dialogs can be forced into console mode ° curses dialogs via Dialog.exe/Dialog (disabled by default) C89/C23 & C++98/C++23 compliant VisualStudio MinGW GCC Clang TinyCC IntelCC OWCC BCC SunCC on Windows Mac Linux Bsd Solaris Minix Raspbian Flatpak Haiku bindings: VCPKG C# R Lua Rust Haskell Java AllegroBasic Fortran Pascal D JavaScript Kotlin click tab 'Files' for prototypes

AlertKit is an open source Swift library designed to replicate the native alert and feedback popups seen in Apple Music and the App Store, giving iOS developers a simple way to integrate polished, system-like notifications into their applications. It focuses on delivering visually consistent and animated alert components that closely match Apple’s design language, including styles inspired by iOS 16 and iOS 17 system interfaces. The library supports both UIKit and SwiftUI, making it flexible for developers working across different iOS UI frameworks while maintaining a unified implementation approach. AlertKit provides predefined alert types such as success, error, heart, and message indicators, along with built-in haptic feedback to enhance the user experience and mimic native system interactions. ...

With the release of iOS 16 SwiftUI now enables most of the features this library was created to replace. The UIHostingConfiguration API makes it easy to implement custom UICollectionViews using SwiftUI cells. This implementation handles cell-resizing and updates much better than a third-party component is able to. In cases where a collection view is overkill, the new SwiftUI Layout protocol is the better choice.

...MRN focuses on simplifying the process of building native-like mobile interfaces within React Native, reducing the need for manual styling and design implementation. It supports Android starting from API level 16, although it does not include full support for iOS, which limits its cross-platform reach. The project is no longer actively maintained, but it still serves as a useful reference or starting point for developers exploring Material Design in React Native.

...Apps: AniCur.exe - A simple .ani/.cur file viewer Clock.exe - A flexible digital desktop clock Cursor.exe - A simple mouse cursor designer DateChanger.exe - Change file dates! FileExt.exe - File extension manager GDIDemo.exe - A simple GDI shape demo program HideWin.exe - A highly customizable Window hider tool IconExt.exe - 32 and 16 bit icon extractor NFO.exe - .nfo and .diz file viewer Quotes.exe - Dekstop funny quotes application TruRefresh.exe - Actual refresh for icon/file extension associations TurnOFF.exe - Application to switch off desktop/laptop monitors

...We took the source code of the gnome-shell and started to adapt it on touchscreen devices. Up to now we stayed fully compatible with the gnome-shell extension system. At the moment the software works just for the gnome-shell 3.2 shipped with Fedora 16 but we should adapt it for Ubuntu's gnome-shell version as well as for the newest releases of the gnome-shell. For the next steps we hope that we can integrate more social networks in the UI.

Acoustic model developed using acoustic data recorded by native Hindi speakers.